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ScrapTracking¤

Track material scrap and waste from scrap and reason-code signals.

Module: ts_shape.events.production.scrap_tracking Guide: Reporting Guide

When to Use¤

Use for scrap/waste tracking and cost accounting. Converts scrap quantities to monetary cost by material type for financial reporting. Essential for plants focused on material efficiency and sustainability goals, where understanding scrap drivers enables targeted waste reduction.

Quick Example¤

from ts_shape.events.production.scrap_tracking import ScrapTracking

tracker = ScrapTracking(
    df=production_df,
    start_time="2024-01-01",
    end_time="2024-03-31"
)

# Scrap counts per shift
by_shift = tracker.scrap_by_shift(scrap_uuid="scrap-counter-001")

# Scrap breakdown by reason code
by_reason = tracker.scrap_by_reason(
    scrap_uuid="scrap-counter-001",
    reason_uuid="scrap-reason-001"
)

# Monetary cost of scrap by material type
material_costs = {"steel": 3.20, "aluminum": 5.80, "plastic": 1.10}
cost = tracker.scrap_cost(
    scrap_uuid="scrap-counter-001",
    part_id_uuid="part-id-001",
    material_costs=material_costs
)

# Daily scrap trend
trend = tracker.scrap_trend(scrap_uuid="scrap-counter-001", window="1D")

Key Methods¤

Method Purpose Returns
scrap_by_shift(scrap_uuid) Scrap count per shift DataFrame
scrap_by_reason(scrap_uuid, reason_uuid) Scrap count grouped by reason code DataFrame
scrap_cost(scrap_uuid, part_id_uuid, material_costs) Monetary cost of scrap by material type DataFrame
scrap_trend(scrap_uuid, window='1D') Rolling trend of scrap counts over time DataFrame

Tips & Notes¤

Track scrap at the point of generation

Place scrap counters as close to the source as possible. If scrap is only counted at end-of-line inspection, you lose visibility into which station generated it. Per-station scrap signals enable root-cause analysis.

Related modules

See Also¤